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This paper aims to explore how generative AI can enhance the flipped learning experience through alignment with Bloom's taxonomy.

April 8, 2025Education SciencesOpen Access

Reimagining Flipped Learning via Bloom’s Taxonomy and Student–Teacher–GenAI Interactions

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This paper aims to explore how generative AI can enhance the flipped learning experience through alignment with Bloom's taxonomy.
Proposed a model integrating GenAI into flipped learning phases: pre-class, in-class, post-class.
Examined the roles of students, teachers, and GenAI in collaborative learning and feedback.
Applied Bloom's taxonomy to align educational objectives with learning activities.
Increased personalized content delivery improved students' grasp of foundational concepts.
Interactions among students, teachers, and GenAI stimulated collaborative learning and real-time feedback.
Post-class support through GenAI reinforced knowledge and encouraged continuous learning.

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Randomized trial demonstrates enhanced learning outcomes in flipped learning environments, highlighting the role of GenAI.

Kwan et al. (2025) studied this question.

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